Merge pull request #162 from dsajdak/master

minor updates to text

Author: aebruno

README.md

@@ -1,14 +1,14 @@
 # HPC Toolset Tutorial
 
-Tutorial for installing and configuring [ColdFront](http://coldfront.io), [OnDemand](https://openondemand.org/), and [Open XDMoD](https://open.xdmod.org): an HPC center management toolset.  
+Tutorial for installing and configuring [ColdFront](http://coldfront.io), [Open OnDemand](https://openondemand.org/), and [Open XDMoD](https://open.xdmod.org): an HPC center management toolset.  
 
 ### Presented by:
 
 [![OSC Logo https://osc.edu](docs/osc_logo.png)](https://osc.edu)  
 [![CCR logo](docs/ccr_logo.jpg)](https://buffalo.edu/ccr)  
 
 
-This tutorial aims to demonstrate how three open source applications work in concert to provide a toolset for high performance computing (HPC) centers. ColdFront is an allocations management portal that provides users an easy way to request access to allocations for a Center's resources.  HPC systems staff configure the data center’s resources with attributes that tie ColdFront’s plug-ins to systems such as job schedulers, authentication/account management systems, system monitoring, and Open XDMoD.  Once the user's allocation is activated in ColdFront, they are able to access the resource using OnDemand, a web-based portal for accessing HPC services that removes the complexities of HPC system environments from the end-user.  Through OnDemand, users can upload and download files, create, edit, submit and monitor jobs, create and share apps, run GUI applications and connect to a terminal, all via a web browser, with no client software to install and configure.  The Open XDMoD portal provides a rich set of features, which are tailored to the role of the user.  Sample metrics provided by Open XDMoD include: number of jobs, CPUs consumed, wait time, and wall time, with minimum, maximum and the average of these metrics. Performance and quality of service metrics of the HPC infrastructure are also provided, along with application specific performance metrics (flop/s, IO rates, network metrics, etc) for all user applications running on a given resource.  
+This tutorial aims to demonstrate how three open source applications work in concert to provide a toolset for high performance computing (HPC) centers. ColdFront is an allocations management portal that provides users an easy way to request access to allocations for a Center's resources.  HPC systems staff configure the data center’s resources with attributes that tie ColdFront’s plug-ins to systems such as job schedulers, authentication/account management systems, system monitoring, and Open XDMoD.  Once the user's allocation is activated in ColdFront, they are able to access the resource using Open OnDemand, a web-based portal for accessing HPC services that removes the complexities of HPC system environments from the end-user.  Through Open OnDemand, users can upload and download files, create, edit, submit and monitor jobs, create and share apps, run GUI applications and connect to a terminal, all via a web browser, with no client software to install and configure.  The Open XDMoD portal provides a rich set of features, which are tailored to the role of the user.  Sample metrics provided by Open XDMoD include: number of jobs, CPUs consumed, wait time, and wall time, with minimum, maximum and the average of these metrics. Performance and quality of service metrics of the HPC infrastructure are also provided, along with application specific performance metrics (flop/s, IO rates, network metrics, etc) for all user applications running on a given resource.  
 
 
 ## Tutorial Steps
@@ -17,8 +17,8 @@ This tutorial aims to demonstrate how three open source applications work in con
 [Getting Started](docs/getting_started.md)  
 [Accessing the Applications](docs/applications.md)  
 [ColdFront](/coldfront/README.md)  
+[Open OnDemand](/ondemand/README.md)  
 [Open XDMoD](/xdmod/README.md)  
-[OnDemand](/ondemand/README.md)  
 
 [Acknowledgments](docs/acknowledgments.md)
 
@@ -37,7 +37,7 @@ This [overview of HPC Toolset Tutorial](https://www.youtube.com/watch?v=9Nf1Guca
 
 ## Disclaimer
 
-DO NOT run this project on production systems. This project is for educational
+**DO NOT run this project on production systems.** This project is for educational
 purposes only. The container images we publish for the tutorial are configured
 with hard coded insecure passwords and should be run locally in development for
 testing and learning only. 

docs/containers_images.PNG

@@ -11,14 +11,14 @@ $ git clone https://github.com/ubccr/hpc-toolset-tutorial.git
 $ cd hpc-toolset-tutorial
 ```
 
-Ensure you have pulled all the latest changes. This is very important as lots
+If you have previously cloned the repo, pull all the latest changes. This is very important as lots
 has changed from previous years:
 
 ```
 $ git pull
 ```
 
-This step is optional, only run this if you've previosly run our tutorial and
+This step is optional: only run this if you've previously run our tutorial and
 need to remove any old containers, volumes, and images. You can also run this
 if you need to start completely fresh. NOTE: this will delete all the hpcts
 container images and you will need to re-download them:
@@ -35,7 +35,7 @@ $ ./hpcts start
 
 ### If something goes wrong...
 
-First, thing to try is stopping the containers, removing the volumes and re-starting:
+First thing to try is stopping the containers, removing the volumes and re-starting:
 
 ```
 $ ./hpcts destroy
@@ -46,7 +46,7 @@ $ ./hpcts start
 
 - [Docker](https://docs.docker.com)
 - [Install & Start Docker](https://docs.docker.com/engine/install/)
-- [Linux & WSL](https://docs.docker.com/engine/install/linux-postinstall/) 
+- [Linux & Windows Subsystem for Linux](https://docs.docker.com/engine/install/linux-postinstall/) 
 - [MacOS Docker Desktop](https://docs.docker.com/docker-for-mac/troubleshoot/)  
 
 ### Helpful Docker commands
@@ -59,6 +59,7 @@ $ docker compose up -d
 $ docker compose logs -f
 $ docker compose logs -f coldfront
 $ docker compose logs -f xdmod
+$ docker compose logs -f ondemand
 
 # Stop containers 
 $ docker compose stop